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Book Reviews
SIAM Review ( IF 10.8 ) Pub Date : 2020-05-06 , DOI: 10.1137/20n975038
Volker H. Schulz

SIAM Review, Volume 62, Issue 2, Page 511-526, January 2020.
I am writing these lines in April 2020 while science is in lockdown mode globally. They will be published in about two months, hopefully when we are mostly out of the lockdown. Because of this time lag, I will avoid further remarks with relevance to the current situation and try to do business as usual. The first and featured review, of the book Nonlocal Modeling, Analysis, and Computation, by Qiang Du, has been written by the postdoc Christian Vollmann, who himself wrote his doctoral thesis on numerics with nonlocal operators. The review is written in a very knowledgeable way, gives a good classification of the book into the currently very intensively researched field of nonlocal problems, and recommends reading the work. In addition, this time we have many reviews in the context of dynamical systems. Julien Arino reports on the book Dynamical System Models in the Life Sciences and Their Underlying Scientific Issues, by Y. M. Wan, which he plans to test ride in his next appropriate course. James Meiss highly recommends Numerical Bifurcation Analysis of Maps: From Theory to Software, by Yuri A. Kuznetsov and Hil G. E. Meijer. Michał Misiurewicz reviews the book Continuous and Discontinuous Piecewise-Smooth One-Dimensional Maps, by V. Avrutin, L. Gardini, I. Sushko, and F. Tramontana, and recommends it for specialists. Patrick Shipman praises Dynamical Systems with Applications Using Python, by Stephen Lynch, because it is “uniquely successful in teaching a branch of mathematics together with computing while inspiring students to look at references and explorations beyond the text.” Warwick Tucker gives an impression on the book Rigorous Numerics in Dynamics, edited by Jan Bouwe van den Berg and Jean-Philippe Lessard, and recommends it for experienced readers in the fields of dynamical systems and rigorous computations. Furthermore, in his review of Robert Johansson's book Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, Charles Jekel recommends the book to readers “interested in learning the Python ecosystem for numerical and scientific work''; and Martin Schmidt's review of Nonlinear Optimization, by Francisco J. Aragón, Miguel A. Goberna, Marco A. López, and Margarita M. L. Rodríguez, recommends it for its “nicely illustrated material.”


中文翻译:

书评

SIAM评论,第62卷,第2期,第511-526页,2020年1月。
我正在2020年4月撰写这些专栏文章,而全球科学界处于锁定模式。它们将在大约两个月内发布,希望当我们大部分时间都处于锁定状态时。由于时间上的滞后,我将避免针对当前情况做进一步的评论,并尝试照常营业。Qiang Du撰写的《 Nonlocal Modeling,Analysis和Computation》一书的第一篇重点评论是由博士后Christian Vollmann撰写的,他本人与非本地运算符一起撰写了有关数字的博士论文。该评论以非常有知识的方式撰写,对本书进行了很好的分类,将其分类为当前对非本地问题进行了深入研究的领域,并建议阅读该书。另外,这次我们在动力学系统方面进行了许多评论。朱利安·阿里诺(Julien Arino)报告了YM Wan撰写的《生命科学及其潜在的科学问题中的动力学系统模型》一书,他计划在下一门适当的课程中对其进行测试。James Meiss强烈建议Yuri A. Kuznetsov和Hil GE Meijer进行地图的数值分叉分析:从理论到软件。MichałMisiurewicz评论了V. Avrutin,L。Gardini,I。Sushko和F. Tramontana所著的连续和不连续逐段平滑一维地图,并将其推荐给专家。帕特里克·希普曼(Patrick Shipman)称赞史蒂芬·林奇(Stephen Lynch)的《使用Python的动态系统及其应用程序》,因为它“在将数学与计算融为一体的同时非常成功地教授了数学分支,同时激发了学生去看课本以外的参考和探索。沃里克·塔克(Warwick Tucker)在Jan Bouwe van den Berg和Jean-Philippe Lessard所著的《动力学中的严格数值学》一书中给人留下了深刻的印象,并向动力系统和严格计算领域的有经验的读者推荐了该书。此外,查尔斯·杰克尔(Charles Jekel)在对罗伯特·约翰逊(Robert Johansson)的书《数值Python:Numpy,SciPy和Matplotlib的科学计算和数据科学应用》的评论中,向读者“建议对学习数字和科学工作的Python生态系统感兴趣”;弗朗西斯科·J·阿拉贡(Francisco J.Aragón),米格尔·A·戈贝纳(Miguel A. Goberna),马可·洛佩兹(Marco A.López)和玛格丽塔·ML·罗德里格斯(Margarita MLRodríguez)以及马丁·施密特(Martin Schmidt)对“非线性优化”的评论,都推荐它的“精美插图”。并将其推荐给动力系统和严格计算领域的有经验的读者。此外,查尔斯·杰克尔(Charles Jekel)在对罗伯特·约翰逊(Robert Johansson)的书《数值Python:Numpy,SciPy和Matplotlib的科学计算和数据科学应用》的评论中,向读者“推荐对学习用于数值和科学工作的Python生态系统感兴趣”的书。弗朗西斯科·J·阿拉贡(Francisco J.Aragón),米格尔·A·戈贝纳(Miguel A. Goberna),马可·洛佩兹(Marco A.López)和玛格丽塔·ML·罗德里格斯(Margarita MLRodríguez)以及马丁·施密特(Martin Schmidt)对“非线性优化”的评论,都推荐它的“精美插图”。并将其推荐给动力系统和严格计算领域的有经验的读者。此外,查尔斯·杰克尔(Charles Jekel)在对罗伯特·约翰逊(Robert Johansson)的书《数值Python:Numpy,SciPy和Matplotlib的科学计算和数据科学应用》的评论中,向读者“推荐对学习用于数值和科学工作的Python生态系统感兴趣”的书。弗朗西斯科·J·阿拉贡(Francisco J.Aragón),米格尔·A·戈贝纳(Miguel A. Goberna),马可·洛佩兹(Marco A.López)和玛格丽塔·ML·罗德里格斯(Margarita MLRodríguez)以及马丁·施密特(Martin Schmidt)对“非线性优化”的评论,都推荐它的“精美插图”。查尔斯·杰克尔(Charles Jekel)向读者“建议对学习数字和科学工作的Python生态系统感兴趣”;弗朗西斯科·J·阿拉贡(Francisco J.Aragón),米格尔·A·戈贝纳(Miguel A. Goberna),马可·洛佩兹(Marco A.López)和玛格丽塔·ML·罗德里格斯(Margarita MLRodríguez)以及马丁·施密特(Martin Schmidt)对“非线性优化”的评论,都推荐它的“精美插图”。查尔斯·杰克尔(Charles Jekel)向读者“建议对学习数字和科学工作的Python生态系统感兴趣”;弗朗西斯科·J·阿拉贡(Francisco J.Aragón),米格尔·A·戈贝纳(Miguel A. Goberna),马可·洛佩兹(Marco A.López)和玛格丽塔·ML·罗德里格斯(Margarita MLRodríguez)以及马丁·施密特(Martin Schmidt)对“非线性优化”的评论,都推荐它的“精美插图”。
更新日期:2020-05-06
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